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AMIA 2006 Annual Symposium

Awards

AMIA presents a number of awards in recognition of special accomplishments in the field of informatics. There are three categories of AMIA awards: Signature Awards, Annual Symposium Awards, and Working Group Awards. Awards are usually presented at the Annual Symposium during events such as the Leadership Dinner, Opening Session, Closing Session, and Working Group events. A brief description of each award organized by awards category follows:

AMIA Signature Awards
The Signature Awards are designed to provide an opportunity for AMIA members at different stages of their career to be recognized for significant contributions to the field.

The Martin Epstein and Student Paper Awards
Student Paper Awards are issued in recognition of the best student papers at the Annual Symposium. Student papers are selected by the Annual Symposium Scientific Program Committee and forwarded to the Student Paper Advisory Committee (SPAC) who nominate eight finalist papers for presentation at the Student Paper Competition. Based on a combination of the written paper and oral presentation, the judges will select a first, second, and third place paper. If the first place paper is truly extraordinary, the SPAC awards the Martin Epstein Award. The oral presentations of the Student Paper Competition will take place on Sunday, November 12, 8:00 am - 12:00 pm in Hemisphere room.

Student Paper Competition Finalists
(S64) Discovering Biological Guilds Through Topological Abstraction
G. Alterovitz, Harvard/MIT Division of Health Science and Technology, CHIP, HPCGG, Boston, MA; and M. F. Ramoni, Harvard/MIT Health Science and Technology, CHIP, HPCGG, Boston, MA

(S15) A Markov Model Approach To Predicting Regional Tumor Spread in the Lymphatic System Of the Head and Neck
N. C. Benson, M. Whipple, and I. J. Kalet, University of Washington, Seattle, WA

(S26) A Natural Language Processing System To Extract and Code Concepts Relating To Congestive Heart Failure From Chest Radiology Reports
J. Friedlin, and C. J. McDonald, Regenstrief Institute, Indianapolis, IN

(S28) An Early Warning System for Overcrowding in the Emergency Department
N. Hoot, and D. Aronsky, Vanderbilt University Medical Center, Nashville, TN

(S73) A Framework for Visually Querying a Probabilistic Model of Tumor Image Features
W. Hsu, Los Angeles, CA

(S55) Task Analysis of Writing Hospital Admission Orders: Evidence of a Problem-Based Approach
C. D. Johnson, R. F. Zeiger, A. K. Das, Stanford Biomedical Informatics, Stanford, CA; and M. K. Goldstein, VA Palo Alto Health Care System, Palo Alto, CA

(S38) Detecting Asthma Exacerbations in a Pediatric Emergency Department Using a Bayesian Network
D. L. Sanders, and D. Aronsky, Vanderbilt University Department of Biomedical Informatics, Nashville, TN

(S77) Automated Development of Order Sets and Corollary Orders by Data Mining in an Ambulatory Computerized Physician Order Entry System
A. Wright, Oregon Health & Science University, Portland, OR; and D. F. Sittig, Northwest Permanente Medical Group, Portland, OR

AMIA New Investigator Award
This award recognizes an individual for early informatics contributions and significant scholarly contributions on the basis of scientific merit and research excellence. Recipients of the New Investigator Award demonstrate: 1) Significant scientific productivity in informatics prior to reaching eligibility for fellowship in the American College of Medical Informatics; 2) Multiple significant scientific publications including contributions to journals including and other than JAMIA; and 3) Demonstrated commitment to AMIA through membership, presentations at AMIA conferences, and/or publications in JAMIA.

Mia K. Markey
Assistant Professor, Biomedical Engineering, The University of Texas at Austin
2006 AMIA New Investigator Award Recipient

Dr. Mia Markey earned her Ph.D. in biomedical engineering with a specialization in bioinformatics from Duke University in North Carolina in 2002. She joined the faculty of The University of Texas at Austin that same year. She directs the Biomedical Informatics Lab.

Dr. Markey is interested in the application of artificial intelligence and statistical techniques in biology and medicine. Her lab seeks to design cost-effective clinical decision support systems to help healthcare providers better diagnose, treat and manage diseases such as cancer. One current project involves computer-aided detection of breast cancer, the most common cancer among American women. Early detection through mammograms increases the survival rate, but some cancers are difficult to detect. Markey is designing computer software to help radiologists detect the signs of breast cancer most commonly missed in mammograms. She is also researching methods for quantifying the changes to a woman’s appearance that result from breast cancer treatments. Surgery remains the primary component of multidisciplinary treatment plans for breast cancer. However, surgical treatments result in permanent alterations to the appearance of the breast, which is critical to breast cancer survivors’ quality of life. Markey is working with reconstructive surgeons and behavioral scientists to understand which factors most affect survivors’ appearance and quality of life.

Virginia K. Saba Informatics Award
This award recognizes an individual’s distinguished career and significant impact on the care of patients and the discipline of nursing. The Virginia K. Saba Informatics Award honors a professional with exemplary principles and practices and a substantial record of contribution to the field of nursing informatics. Recipients of the Saba Informatics Award demonstrate: 1) Focus in Nursing Informatics; 2) Characteristics and achievements should include visionary leadership; global impact; and enduring contribution to nursing professional practice, education, administration, research, and/or health policy; and 3) Demonstrated commitment to AMIA through membership.

Suzanne Bakken
Alumni Professor of Nursing
Professor of Biomedical Informatics , Columbia University
2006 Virginia K. Saba Informatics Award Recipient

Suzanne Bakken completed her doctoral study in nursing at the University of California, San Francisco, followed by a National Library of Medicine post-doctoral fellowship in Medical Informatics at Stanford University. Dr. Bakken currently directs the Center for Evidence-based Practice in the Underserved and the Reducing Health Disparities Through Informatics (RHeaDI) pre- and post-doctoral training program; both funded by the National Institute of Nursing Research (NINR). Her most recent NINR-funded research project, Mobile Decision Support for Advanced Practice Nurses, is a randomized controlled trial that is testing the impact of PDA-based decision support for depression screening, smoking cessation, and obesity management on guideline adherence. Other research and training efforts are currently funded by the National Library of Medicine and the Health Services Resources Administration.

Dr. Bakken has published more than 140 papers and has been recognized for her nursing informatics research by receiving the Harriet H. Werley Award three times as well as the Rutgers Award for Advancement of Computer Technology in Health Care and the Eastern Nursing Research Society Distinguished Contribution to Nursing Research Award. In 2006, Dr. Bakken and her team received the 21st Century Achievement Award in Education and Academia from the ComputerWorld Honors Program for their innovative use of PDA technologies in the care of underserved populations. She has been active in healthcare standards initiatives serving on the Institute of Medicine Committee on Data Standards for Patient Safety, the Clinical LOINC Committee, and as the prior Chair of the Nursing Working Group of the SNOMED Editorial Board and lead of the Technical Task Group for the International Standards Organization standard on reference terminology models for nursing diagnoses and interventions.

Dr. Bakken has participated in AMIA in multiple roles including serving as the Chair of the 2001 Annual Symposium and on the JAMIA editorial board. She is currently the U.S. representative to the International Medical Informatics Association Nursing Informatics Special Interest Group.

Donald A.B. Lindberg Award for Innovation in Informatics
Dr. Lindberg’s continuous commitment to the field has dramatically altered the scope and extent of informatics’ practice and research. The contribution recognized will have advanced the field in the form of a significant innovation or a unique approach and contribution to education or training, but not for a lifetime body of work. Recipients of the Lindberg Award for Innovation in Informatics demonstrate: 1)A specific technological, research, or educational contribution that advances biomedical informatics; 2) Work conducted in a not-for-profit setting; 3) the adoption of the particular advance by the informatics community will be on a national or internationallevel; 4) A successful innovation of informatics has dramatically moved or changed the field; and 5) A demonstrated commitment to AMIA through membership.

Mark Musen
Professor of Medicine and Computer Science
Stanford University
2006 Donald A.B. Lindberg Award for Innovation in Informatics Recipient

Dr. Musen is head of the Stanford Medical Informatics laboratory. He holds an MD from Brown University and a PhD from Stanford. Dr. Musen conducts research related to intelligent systems, the Semantic Web, reusable ontologies and knowledge representations, and biomedical decision support. His long-standing work on a system known as Protégé has led to an open-source technology now used by thousands of developers around the world to build intelligent computer systems and new computer applications for e-science and the Semantic Web. He is known for his research of the application of intelligent computer systems to assist health-care workers in guideline-directed therapy and in management of clinical trials. He is principal investigator of the National Center for Biomedical Ontology, one of the seven National Centers for Biomedical Computing supported by the NIH Roadmap.

In 19 89 Dr. Musen received the Young Investigator Award for Research in Medical Knowledge Systems from the American Association of Medical Systems and Informatics. He received a Young Investigator Award from the National Science Foundation in 1992. He has served on the Biomedical Library Review Committee of the National Library of Medicine and as an advisor to many academic and industrial groups concerned with the development of advanced information technology. Dr. Musen sits on the editorial boards of several journals related to biomedical informatics and computer science. He is co-editor of the Handbook of Medical Informatics (Springer-Verlag, 1997) and co-editor-in-chief of the journal Applied Ontology.

Morris F. Collen Award of Excellence
In honor of Morris F. Collen, a pioneer in the field of medical informatics, this prestigious award is presented by AMIA’s College of Informatics to an individual whose personal commitment and dedication to medical informatics has made a lasting impression on the field. The award is determined by the College’s Awards Committee.

Edward H. Shortliffe
Rolf H. Scholdager Professor and Chair
Department of Biomedical Informatics
Professor of Medicine and of Computer Science
Deputy Vice President for Strategic Information Resources
Columbia University Medical Center
2006 Morris F. Collen Award of Excellence Recipient

Edward H. Shortliffe is Rolf A. Scholdager Professor and Chair of the Department of Biomedical Informatics at Columbia College of Physicians and Surgeons in New York City. He was formerly Professor of Medicine and of Computer Science at Stanford University. After receiving an A.B. in Applied Mathematics from Harvard College in 1970, he moved to Stanford University where he was awarded a Ph.D. in Medical Information Sciences in 1975 and an M.D. in 1976. During the early-1970s, he was principal developer of the medical expert system known as MYCIN. After a pause for internal medicine house-staff training at Massachusetts General Hospital and Stanford Hospital between 1976 and 1979, he joined the Stanford internal medicine faculty where he served as Chief of General Internal Medicine, Associate Chair of Medicine for Primary Care, and directed an active research program in clinical information systems and decision support. He spearheaded the formation of a Stanford graduate degree program in biomedical informatics and divided his time between clinical medicine and biomedical informatics research. In January 2000 he assumed his new post at Columbia University, where he is also Deputy Vice President (Columbia University Medical Center) and Senior Associate Dean (College of Physicians and Surgeons) for Strategic Information Resources, Professor of Medicine, Professor of Computer Science, and Director of Medical Informatics Services for the NewYork-Presbyterian Hospital. He continues to be closely involved with biomedical informatics graduate training and his research interests include the broad range of issues related to integrated decision-support systems, their effective implementation, and the role of the Internet in health care.

Dr. Shortliffe is an elected member of the Institute of Medicine of the National Academy of Sciences (where he currently serves on the IOM executive council), the American Society for Clinical Investigation, the Association of American Physicians, and the American Clinical and Climatological Association. He has also been elected to fellowship in the American College of Medical Informatics and the American Association for Artificial Intelligence. He is a Master of the American College of Physicians (ACP) and was a member of that organization’s Board of Regents from 1996-2002. He is Editor-in-Chief of the Journal of Biomedical Informatics, and serves on the editorial boards for several other biomedical informatics publications. He currently sits on the oversight committee for the Division of Engineering and Physical Sciences (National Academy of Sciences) and the Biomedical Informatics Expert Panel (National Center for Research Resources at the National Institutes of Health). He has recently served on the National Committee for Vital and Health Statistics (NCVHS) and on the President’s Information Technology Advisory Committee (PITAC). Earlier he served on the Computer Science and Telecommunications Board (National Research Council), the Biomedical Library Review Committee (National Library of Medicine), and was recipient of a research career development award from the latter agency. In addition, he received the Grace Murray Hopper Award of the Association for Computing Machinery in 1976 and has been a Henry J. Kaiser Family Foundation Faculty Scholar in General Internal Medicine. Dr. Shortliffe has authored over 300 articles and books in the fields of medical computing and artificial intelligence. Volumes include Computer-Based Medical Consultations: MYCIN (Elsevier/North Holland, 1976), Readings in Medical Artificial Intelligence: the First Decade (with W.J. Clancey; Addison-Wesley, 1984), Rule-Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project (with B.G. Buchanan; Addison-Wesley, 1984), Medical Informatics: Computer Applications in Health Care and Biomedicine (with L.E. Perreault, G. Wiederhold, and L.M. Fagan; Reading, MA: Addison-Wesley, 1990; 2nd edition, New York: Springer-Verlag, 2000), and the third edition of the latter textbook (Biomedical Informatics: Computer Applications in Health Care and Biomedicine, with J.J. Cimino, New York: Springer, 2006.


AMIA Symposium Awards
AMIA provides a series of merit awards each year for research work submitted to its Annual Symposium through the rigorous submission and review process.

Distinguished Paper Awards
From a slate of candidate papers recommended by the Annual Symposium Scientific Program Committee, the Awards Committee will recognize five notable and distinguished papers from the Annual Symposium. Distinguished papers are awarded at the Annual Symposium but contain no ordinal designation. Papers of the Student Paper Competition finalists are not eligible.

(S51) Differences Among Cell-Structure Ontologies: FMA, GO, & CCO
P. Au, X. Li, and J. H. Gennari, University of Washington, Seattle, WA

(S67) Collaboration Between the Medical Informatics Community and Guideline Authors: Fostering HIT Standard Development that Matters
P. G. Biondich, Regenstrief Institute, Indianapolis, IN; S. M. Downs, Children’s Health Services Research, Indianapolis, IN; A. E. Carroll, MD, MS, Indianapolis, IN; R. N. Shiffman, Yale Center for Medical Informatics, New Haven, CT; and C. J. McDonald, Regenstrief Institute, Indianapolis, IN

(S51) Comparing the Representation of Anatomy in the FMA and SNOMED CT
O. Bodenreider, National library of Medicine, Bethesda, MD; and S. Zhang, Institute of Mathematics, Beijing, China

(S41) Computer-Aided Diabetes Education: A Synthesis of Randomized Controlled Trials
S. A. Boren, T. L. Gunlock, University of Missouri School of Medicine, Columbia, MO; S. Krishna, Saint Louis University, St. Louis, MO; and T. C. Kramer, University of Missouri School of Medicine, Columbia, MO

(S95) SNOMED CT®: Utility for a General Medical Evaluation Template
S. H. Brown, Department of Veterans Affairs, Nashville, TN; P. L. Elkin, B. A. Bauer, D. Wahner-Roedler, C. S. Husser, T. Zelalem , Mayo Clinic, Rochester, MN; S. P. Hardenbrook, E. M. Fielstein, Department of Veterans Affairs, Nashville, TN; and S. T. Rosenbloom, Vanderbilt University, Nashville, TN

(S52) Knowledge-Based Method for Building Patient Decision-Analytic Tools
A. K. Das, B. A. Ahmed, Y. Garten, J. I. Robin, Stanford Medical Informatics, Stanford, CA; and M. K. Goldstein, GRECC, Palo Alto, CA

(S76) Infodemiology: Tracking Flu-Related Searches on the Web for Syndromic Surveillance
G. Eysenbach, University of Toronto & University Health Network, Toronto, Canada

(S15) Predictive Modeling for the Prevention Of Hospital-Acquired Pressure Ulcers
T. Kim, University of Wisconsin-Milwaukee, College of Nursing, Milwaukee, WI; and N. M. Lang, University of Pennsylvania, School of Nursing, Philadelphia, PA

(S07) A Computerized Decision Support System Improves the Accuracy Of Temperature Capture From Nursing Personnel At the Bedside
P. J. Kroth, University of NM, Health Sciences Library and Informatics Center, Albuquerque, NM; P. R. Dexter, J. M. Overhage, The Regenstrief Institute, Inc., Indianapolis, IN; C. Knipe, Wishard Community Hospital, Indianapolis, IN; S. L. Hui, A. Belsito, and C. J. McDonald, The Regenstrief Institute, Inc., Indianapolis, IN

(S18) Health Information Text Characteristics
G. Leroy, E. Eryilmaz, Claremont Graduate University, Claremont, CA; and B. T. Laroya, City of Hope National Medical Center, Duarte, CA

(S75) Identifying Barriers to Hypertension Guideline Adherence Using Clinician Feedback at the Point Of Care
N. D. Lin, S. B. Martins, GRECC, VA Palo Alto Health Care System, Palo Alto, CA; A. S. Chan, Palo Alto Medical Foundation, Redwood City, CA; R. W. Coleman, GRECC, VA Palo Alto Health Care System, Palo Alto, CA; H. B. Bosworth, E. Z. Oddone, Durham VA Medical Center, Durham, NC; R. D. Shankar, M. A. Musen, Stanford Medical Informatics, Stanford, CA; B. B. Hoffman, VA Boston Health Care System, West Roxbury, MA; and M. K. Goldstein, GRECC, VA Palo Alto Health Care System, Palo Alto, CA

(S67) Barriers to Electronic Health Record Use During Patient Visits
J. A. Linder, J. L. Schnipper, Division of General Medicine, Brigham and Women’s Hospital, Boston, MA; R. Tsurikova, Clinical Quality and Information Systems Analysis, Partners HealthCare, Wellesley, MA; A. J. Melnikas, L. A. Volk, Clinical and Quality Analysis, Partners HealthCare, Wellesley, MA; and B. Middleton, Clinical Informatics Research and Development, Partners HealthCare, Wellesley, MA

(S30) Re-Identification of Familial Database Records
B. A. Malin, Vanderbilt University, Nashville, TN

(S39) Offline Testing Of the Athena Hypertension Decision Support System Knowledge Base to Improve the Accuracy Of Recommendations
S. B. Martins, GRECC, VA Palo Alto Health care System, Palo Alto, CA; S. Lai, Santa Clara Valley Medical Center, San Jose, CA; S. W. Tu, R. Shankar, Stanford University School of Medicine, Stanford, CA; S. N. Hastings, Durham VA Medical Center, Durham, NC; B. B. Hoffman, VA Boston HCS, West Roxbury, MA; N. DiPilla, GRECC, VA Palo Alto Health care System, Palo Alto, CA; and M. K. Goldstein, GRECC, VA Palo Alto Health Care System & PCOR, Stanford University, Palo Alto, CA

(S04) Improving the Sensitivity Of the Problem List in An Intensive Care Unit By Using Natural Language Processing
S. Meystre, University Hospital of Lausanne, Switzerland, Lausanne, Switzerland

(S41) User Study of a Spanish-Language Clinicaltrials.gov Prototype System
G. B. Rosemblat, and T. Tse, Lister Hill Center, Bethesda, MD

(S51) Ontology-Based Representation of Simulation Models of Physiology
D. L. Rubin, Stanford University, Stanford, CA; D. Grossman, Stanford Medical Informatics, Stanford, CA; M. Neal, D. Cook, J. Bassingthwaighte, University of Washington, Seattle, WA; and M. Musen, Stanford Medical Informatics, Stanford University, Stanford, CA

(S38) A Novel Method for the Efficient Retrieval of Similar Multiparameter Physiologic Time Series Using Wavelet-Based Symbolic Representations
M. Saeed, Philips Medical Systems, Harvard-MIT Division of HST, Cambridge, MA

(S65) Proposed Criteria for Reimbursing Evisits: Content Analysis of Secure Patient Messages in a Personal Health Record System
P. C. Tang, W. Black, and C. Y. Young, Palo Alto Medical Foundation, Palo Alto, CA

(S66) A Graphical User Interface for a Comparative Anatomy Information System: Design, Implementation and Usage Scenarios
R. S. Travillian, and L. G. Shapiro, University of Washington, Seattle, WA

(S74) Comparative Evaluation of Accuracy of Extraction of Medication Information from Narrative Physician Notes by Commercial and Academic Natural Language Processing Software Packages
A. Turchin, Partners HealthCare System, Wellesley, MA; L. Morin, Partners Healthcare System, Wellesley, MA; L. G. Semere, Harvard Medical School, Brookline, MA; V. Kashyap, M. B. Palchuk, Partners HealthCare System, Wellesley, MA; M. Shubina, Brigham and Women’s Hospital, Boston, MA; F. Chang, Partners Healthcare System, Wellesley, MA; and Q. Li, Partners HealthCare System, Wellesley, MA

(S64) Ontological Modeling of Transformation in Heart Defect Diagrams
V. S. Viswanath, T. Tong, D. Dinakarpandian, and Y. Lee, University of Missouri - Kansas City, Kansas City, MO

(S95) A Comparison of Intelligent Mapper and Document Similarity Scores for Mapping Local Radiology Terms to LOINC
D. J. Vreeman, Regenstrief Institute, Inc and Indiana University, Indianapolis, IN; and C. J. McDonald, Regenstrief Institute, Inc. and Indiana University School of Medicine, Indianapolis, IN

(S96) Besides Precision & Recall: Exploring Alternative Approaches To Evaluating An Automatic Indexing Tool for Medline
K. Zeng, O. Bodenreider, and A. Neveol, U.S. National Library of Medicine, Bethesda, MD

Distinguished Poster Awards
The Awards Committee will recognize between two and ten distinguished posters with awards presented at the Annual Symposium Closing Session. Posters are selected by the Annual Symposium Poster Committee and forwarded to a committee who judge nominated posters during poster sessions held at the Annual Symposium.
Nominations to be announced during AMIA 2006.

Homer R. Warner Award
The Homer R. Warner Award is named for Homer R. Warner, MD, PhD, a pioneer in the field of informatics and the founder of the Department of Medical Informatics at the University of Utah. A cash prize is awarded for the paper chosen at the AMIA Annual Symposium that best describes approaches to improving computerized information acquisition, knowledge data acquisition and management, and experimental results documenting the value of these approaches. The candidate papers are recommended by the AMIA Annual Symposium Scientific Program Committee, and the selection of the recipient is made by the University of Utah Department of Medical Informatics.

(S95) A Simple Strategy for Implementing Standard Reference Terminologies in a Distributed Healthcare Delivery System with Minimal Impact to Existing Applications
O. Bouhaddou, M. J. Lincoln, S. Maulden, V. Nguyen, H. Murphy, S. Lam, R. Sigley, M. Insley, G. Graham, P. Warnekar, C. Hughes, G. Crandall, F. Frankson, and S. H. Brown, VA, Nashville, TN

(S75) Using Arden Syntax and Adaptive Turnaround Documents to Evaluate Clinical Guidelines
S. M. Downs, Indiana University School of Medicine/Regenstrief, Indianapolis, IN; P. G. Biondich, Indiana University/Regenstrief, Indianapolis, IN; V. Anand, M. Zore, and A. E. Carroll, Indiana University, Indianapolis, IN

(S94) Evaluating the Impact and Costs of Deploying an Electronic Medical Record System To Support TB Treatment in Peru
H. Fraser, Brigham and Womens Hospital, Boston, MA; J. Blaya, S. Choi, Partners In Health, Boston, MA; C. Bonilla, Director of National Tuberculosis Program, Lima, Peru; and D. Jazayeri, Partners In Health, Boston, MA

(S75) Prediction in Annotation Based Guideline Encoding
C. Hagerty, D. S. Pickens, University of Medicine and Dentistry of New Jersey, New Brunswick, NJ; J. Chang, Harvard-MIT Division of Health Sciences and Technology, Boston, MA; C. A. Kulikowski, Department of Computer Science, Rutgers University, Piscataway, NJ; and F. A. Sonnenberg, University of Medicine and Dentistry of New Jersey, New Brunswick, NJ

(S39) On Implementing Clinical Decision Support: Achieving Scalability and Maintainability By Combining Business Rules and Ontologies
V. Kashyap, Partners HealthCare System, Wellesley, MA; A. Morales, Cerebra, Inc., Menlo Park, CA; and T. Hongsermeier, Partners HealthCare System, Wellesley, MA

(S07) A Computerized Decision Support System Improves the Accuracy Of Temperature Capture From Nursing Personnel At the Bedside
P. J. Kroth, University of NM, Health Sciences Library and Informatics Center, Albuquerque, NM; P. R. Dexter, J. M. Overhage, The Regenstrief Institute, Inc., Indianapolis, IN; C. Knipe, Wishard Community Hospital, Indianapolis, IN; S. L. Hui, A. Belsito, and C. J. McDonald, The Regenstrief Institute, Inc., Indianapolis, IN

(S04) Improving the Sensitivity Of the Problem List in An Intensive Care Unit By Using Natural Language Processing
S. Meystre, University Hospital of Lausanne, Switzerland, Lausanne, Switzerland

(S73) A Web Portal That Enables Collaborative Use of Advanced Medical Image Processing and Informatics Tools Through the Biomedical Informatics Research Network (BIRN)
S. N. Murphy, M. E. Mendis, Massachusetts General Hospital, Boston, MA; J. Grethe, University of California San Diego, La Jolla, CA; R. Gollub, D. Kennedy, and B. R. Rosen, Harvard - Massachusetts General Hospital, Charlestown, MA

(S40) Ontoquest: A Physician Decision Support System Based on Ontological Queries of the Hospital Database
M. Popescu, and G. Arthur, University of Missouri, Columbia, MO

(S73) Combining Image Features, Case Descriptions and UMLS Concepts to Improve Retrieval Of Medical Images
M. E. Ruiz, State University of New York at Buffalo, Buffalo, NY

(S30) Record Linkage: Making the Most Out of Errors in Linking Variables
M. Tromp, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands; J. Reitsma, Department of Clinical Epidemiology and Biostatistics, Amsterdam, Netherlands; A. Ravelli, N. Méray, Department of Medical Informatics, Amsterdam, Netherlands; and G. Bonsel, Deparment of Public Health Methods, Amsterdam, Netherlands

(S05) Towards Ubiquitous Peer Review Strategies To Sustain and Enhance a Clinical Knowledge Management Framework
R. A. Rocha, R. L. Bradshaw, S. M. Bigelow, T. P. Hanna, G. Del Fiol, N. C. Hulse, L. K. Roemer, Intermountain Healthcare, West Valley City, UT; and S. G. Wilkinson, Rockhurst University, Kansas City, MO

(S38) Detecting Asthma Exacerbations in a Pediatric Emergency Department Using a Bayesian Network
D. L. Sanders, and D. Aronsky, Vanderbilt University Department of Biomedical Informatics, Nashville, TN

(S77) Automated Development of Order Sets and Corollary Orders by Data Mining in an Ambulatory Computerized Physician Order Entry System
A. Wright, Oregon Health & Science University, Portland, OR; and D. F. Sittig, Northwest Permanente Medical Group, Portland, OR


Working Group Awards
AMIA provides a series of merit awards each year for research work submitted to its Annual Symposium through the rigorous submission and review process.

Diana Forsythe Award
Honors either a peer-reviewed AMIA paper published in the Proceedings of the Annual Symposium or peer-reviewed article published in JAMIA or other journals publishing medical informatics-related content that best exemplifies the spirit and scholarship of Diana Forsythe’s work at the intersection of informatics and social sciences with a cash prize. Selection is determined by a sub-committee of the AMIA Awards Committee and the AMIA People and Organizational Issues Working Group, with the award presented annually at the AMIA Annual Symposium.

Nominations:
Cooper, Janet and Urquhart, Christine. The Information Needs and Information-Seeking Behaviours of Home-Care Workers and Clients Receiving Home Care. Health Information and Libraries Journal, 22, 107-116.

Dickerson, Suzanne, Boehmke, Marcia, Ogle, Carolann, and Brown, Jean K. Seeking and Managing Hope: Patient’s Experiences Using the Internet for Cancer Care. Oncology Nursing Forum, 33, E8-E17.

Senathirajah, Yalini, Kukafka, Rita, Guptarak, Marisa, and Cohall, Alwyn. Health Information Seeking and Technology Use in Harlem - A Pilot Study using Community-Based Participatory Research. AMIA 2006. (S67)

Sittig, Dean, Krall, Michael, Kaalaas-Sittig, JoAnn, and Ash, Joan S. Emotional Aspects of Computer-based Provider Order Entry: A Qualitative Study. Journal of the American Medical Informatics Association, 12, 561-567.

Ventres, William, Kooienga, Sarah, Vuckovic, Marlin, Ryan, Nygren, Peggy, and Stewart, Valerie. Physicians, Patients, and the Electronic Health Record: An Ethnographic Analysis. Ann. Fam. Med, 4, 124-131.

Nursing Informatics Working Group Award
Honors a student who demonstrates excellence in nursing informatics and who has the potential to contribute significantly to the discipline of nursing and health informatics. The candidate papers are recommended by the AMIA Annual Symposium Scientific Program Committee, and the selection of the recipient is made by a special committee within the AMIA Nursing Informatics Working Group.

(S06) Use Of Simulation in the Study Of Clinician Workflow
E. M. Borycki, University of Victoria, Victoria, Canada; A. W. Kushniruk, School of Health Information Science, Victoria, Canada; S. Kuwata, Division of Medical Informatics, Yonago, Japan; and J. Kannry, The Mount Sinai Medical Center, New York, NY

(S37) Toward the Creation of an Ontology for Nursing Document Sections: Mapping Section Names To the LOINC Semantic Model
S. Hyun, Columbia University School of Nursing, New York, NY; and S. Bakken, Columbia University School of Nursing & Dept of Biomedical Informatics, New York, NY

(S15) Predictive Modeling for the Prevention Of Hospital-Acquired Pressure Ulcers
T. Kim, University of Wisconsin-Milwaukee, College of Nursing, Milwaukee, WI; and N. M. Lang, University of Pennsylvania, School of Nursing, Philadelphia, PA

(S41) Designing Study Nurses’ Training to Enhance Research Integrity: A Macroergonomic Approach
S. P. Kossman, G. Casper, D. J. Severtson, A. Grenier, C. Or, P. Carayon, and P. F. Brennan, University of Wisconsin-Madison, Madison, WI

Harriet H. Werley Award
A cash prize is presented to the paper presented at the AMIA Annual Symposium with a nurse as first author that is judged to make the greatest contribution to advancing the field of nursing informatics. The candidate papers are recommended by the AMIA Annual Symposium Scientific Program Committee, and the selection of the recipient is made by a special committee within the AMIA Nursing Informatics Working Group.

(S76) The Feasibility of Digital Pen and Paper Technology for Vital Sign Data Capture in Acute Care Settings
P. C. Dykes, Partners HealthCare, Wellesley, MA; A. Benoit, F. Chang, J. Gallagher, L. Qi, and C. Spurr, Partners Healthcare, Wellesley, MA

(S93) Mutual Enhancement Of Diverse Terminologies
N. Hardiker, University of Salford, Salford, United Kingdom (Great Britain); A. Casey, Royal College of Nursing of the United Kingdom, London, United Kingdom (Great Britain); A. Coenen, University of Wisconsin-Milwaukee, Milwaukee, WI; and D. Konicek, SNOMED® International, Northfield, IL

(S37) Toward the Creation of an Ontology for Nursing Document Sections: Mapping Section Names To the LOINC Semantic Model
S. Hyun, Columbia University School of Nursing, New York, NY; and S. Bakken, Columbia University School of Nursing & Dept of Biomedical Informatics, New York, NY

(S41) Designing Study Nurses’ Training to Enhance Research Integrity: A Macroergonomic Approach
S. P. Kossman, G. Casper, D. J. Severtson, A. Grenier, C. Or, P. Carayon, and P. F. Brennan, University of Wisconsin-Madison, Madison, WI

Awards will be presented at the Leadership Dinner and at the Opening and Closing sessions.

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